Journal article Open Access

COSIFER: a Python package for the consensus inference of molecular interaction networks

Manica, M.; Bunne, C.; Mathis, R.; Cadow, J.; Ahsen, M.; Stolovitzky; Martínez, M.


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  <dc:creator>Manica, M.</dc:creator>
  <dc:creator>Bunne, C.</dc:creator>
  <dc:creator>Mathis, R.</dc:creator>
  <dc:creator>Cadow, J.</dc:creator>
  <dc:creator>Ahsen, M.</dc:creator>
  <dc:creator>Stolovitzky</dc:creator>
  <dc:creator>Martínez, M.</dc:creator>
  <dc:date>2020-11-02</dc:date>
  <dc:description>The advent of high-throughput technologies has provided researchers with measurements of thousands of molecular entities and enable the investigation of the internal regulatory apparatus of the cell. However, network inference from high-throughput data is far from being a solved problem. While a plethora of different inference methods have been proposed, they often lead to non-overlapping predictions, and many of them lack user-friendly implementations to enable their broad utilization. Here, we present Consensus Interaction Network Inference Service (COSIFER), a package and a companion web-based platform to infer molecular networks from expression data using state-of-the-art consensus approaches. COSIFER includes a selection of state-of-the-art methodologies for network inference and different consensus strategies to integrate the predictions of individual methods and generate robust networks.
 </dc:description>
  <dc:identifier>https://zenodo.org/record/4748570</dc:identifier>
  <dc:identifier>10.1093/bioinformatics/btaa942</dc:identifier>
  <dc:identifier>oai:zenodo.org:4748570</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/826121/</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ipc</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:source>Bioinformatics</dc:source>
  <dc:title>COSIFER: a Python package for the consensus inference of molecular interaction networks</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
</oai_dc:dc>
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